Universidad Complutense de Madrid
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Synchronization of heteroclinic circuits through learning in coupled neural networks.

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Selskii, Anton and Makarov, Valeri A. (2016) Synchronization of heteroclinic circuits through learning in coupled neural networks. Regular and Chaotic Dynamics, 21 (1). pp. 97-106. ISSN 15603547

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Abstract

The synchronization of oscillatory activity in neural networks is usually implemented by coupling the state variables describing neuronal dynamics. Here we study another, but complementary mechanism based on a learning process with memory. A driver network, acting as a teacher, exhibits winner-less competition (WLC) dynamics, while a driven network, a learner, tunes its internal couplings according to the oscillations observed in the teacher.
We show that under appropriate training the learner can “copy” the coupling structure and thus synchronize oscillations with the teacher. The replication of the WLC dynamics occurs for intermediate memory lengths only, consequently, the learner network exhibits a phenomenon of learning resonance.


Item Type:Article
Uncontrolled Keywords:Synchronization; Learning; Heteroclinic circuit; Neural networks; Winner-less competition
Subjects:Sciences > Mathematics > Differential equations
ID Code:36925
Deposited On:15 Apr 2016 11:59
Last Modified:15 Apr 2016 11:59

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